




'''simple docstring'''


def     SCREAMING_SNAKE_CASE							(   a_						:				list[list[float]]      ):
  __a								=       []
  for data in source_data:
    for i, el in enumerate(a_      ):
      if len(a_      ) < i + 1:
        data_lists.append([]      )
      data_lists[i].append(float(a_      )      )
  return data_lists


def     SCREAMING_SNAKE_CASE							(   a_						:				list[list[float]]					,       a_						:				list[int]      ):
  __a								=       []
  for dlist, weight in zip(a_					,       a_      ):
    __a								=       min(a_      )
    __a								=       max(a_      )

    __a								=       []
    # for weight 0 score is 1 - actual score
    if weight == 0:
      for item in dlist:
        try:
          score.append(1 - ((item - mind) / (maxd - mind))      )
        except ZeroDivisionError:
          score.append(1      )

    elif weight == 1:
      for item in dlist:
        try:
          score.append((item - mind) / (maxd - mind)      )
        except ZeroDivisionError:
          score.append(0      )

        # weight not 0 or 1
    else:
      __a								=       f"Invalid weight of {weight:f} provided"
      raise ValueError(a_      )

    score_lists.append(a_      )

  return score_lists


def     SCREAMING_SNAKE_CASE							(   a_						:				list[list[float]]      ):
  __a								=       [0 for i in range(len(score_lists[0]      )      )]

  for slist in score_lists:
    for j, ele in enumerate(a_      ):
      __a								=       final_scores[j] + ele

  return final_scores


def     SCREAMING_SNAKE_CASE							(   a_						:				list[list[float]]					,       a_						:				list[int]      ):
  __a								=       get_data(a_      )
  __a								=       calculate_each_score(a_					,       a_      )
  __a								=       generate_final_scores(a_      )

  # append scores to source data
  for i, ele in enumerate(a_      ):
    source_data[i].append(a_      )

  return source_data









'''simple docstring'''


class  __lowercase    :  # Public class to implement a graph







   def __init__(						self   ,				UpperCamelCase   ,				UpperCamelCase   ,				UpperCamelCase   )					->     None:
     __a								=       row
     __a								=       col
     __a								=       graph







   def 		UpperCamelCase__      (						self   ,				UpperCamelCase   ,				UpperCamelCase   ,				UpperCamelCase   )					->     bool:
     return (
         0 <= i < self.ROW
         and 0 <= j < self.COL
         and not visited[i][j]
         and self.graph[i][j]
     )







   def 		UpperCamelCase__      (						self   ,				UpperCamelCase   ,				UpperCamelCase   ,				UpperCamelCase   )					->     None:
     # Checking all 8 elements surrounding nth element
     __a								=       [-1, -1, -1, 0, 0, 1, 1, 1]  # Coordinate order
     __a								=       [-1, 0, 1, -1, 1, -1, 0, 1]
     __a								=       True  # Make those cells visited
     for k in range(8   ):
       if self.is_safe(i + row_nbr[k]   ,				j + col_nbr[k]   ,				UpperCamelCase   ):
         self.diffs(i + row_nbr[k]   ,				j + col_nbr[k]   ,				UpperCamelCase   )







   def 		UpperCamelCase__      (						self   )					->     int:  # And finally, count all islands.
     __a								=       [[False for j in range(self.COL   )] for i in range(self.ROW   )]
     __a								=       0
     for i in range(self.ROW   ):
       for j in range(self.COL   ):
         if visited[i][j] is False and self.graph[i][j] == 1:
           self.diffs(UpperCamelCase   ,				UpperCamelCase   ,				UpperCamelCase   )
           count += 1
     return count



